Session

While researchers have been advancing computer vision algorithms month by month, developers face the problem of training and deploying those same algorithms in the real world. Often, the reason behind low accuracies is accounted for by the low quantity and quality of data available for the problem. Over the past few months, federated learning has been the talk of the town because of its promising future in computer vision. What is federated learning? How to use it? Is it possible to deploy federated learning solutions in the real world? The main focus of this talk will be to demonstrate why, where, and how to use federated learning in computer vision.